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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Software Development and Testing for Machine Learning Studies
|
|---|---|
| Published in |
Transactions of the Japanese Society of Artificial Intelligence, January 2012
|
| DOI | 10.1527/tjsai.27.253 |
| Authors |
Takaki Makino, Kazuyuki Aihara |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 6 | 46% |
| Chile | 1 | 8% |
| Unknown | 6 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 92% |
| Unknown | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 12% |
| Student > Bachelor | 1 | 6% |
| Lecturer | 1 | 6% |
| Unknown | 13 | 76% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 18% |
| Physics and Astronomy | 1 | 6% |
| Unknown | 13 | 76% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 June 2018.
All research outputs
#3,349,267
of 25,838,141 outputs
Outputs from Transactions of the Japanese Society of Artificial Intelligence
#14
of 228 outputs
Outputs of similar age
#24,961
of 252,184 outputs
Outputs of similar age from Transactions of the Japanese Society of Artificial Intelligence
#1
of 10 outputs
Altmetric has tracked 25,838,141 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 228 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 252,184 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them